Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream

@inproceedings{Gucclu2015DeepNN,
  title={Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream},
  author={Umut Gucclu and Marcel van Gerven},
  year={2015}
}
Converging evidence suggests that the primate ventral visual pathway encodes increasingly complex stimulus features in downstream areas. We quantitatively show that there indeed exists an explicit gradient for feature complexity in the ventral pathway of the human brain. This was achieved by mapping thousands of stimulus features of increasing complexity across the cortical sheet using a deep neural network. Our approach also revealed a fine-grained functional specialization of downstream areas… CONTINUE READING

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